df2onehot is a Python package to convert unstructured DataFrames into structured dataframes, such as one-hot dense arrays.

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pip install df2onehot

from df2onehot import df2onehot

On the documentation pages you can find detailed information about the working of the df2onehot with many examples.

results = df2onehot(df)

# Force features (int or float) to be numeric if unique non-zero values are above percentage.
out = df2onehot(df, perc_min_num=0.8)

# Remove categorical features for which less then 2 values exists.
out = df2onehot(df, y_min=2)

# Combine two rules above.
out = df2onehot(df, y_min=2, perc_min_num=0.8)

• Example: Process Mixed dataset

• Example: Extracting nested columns

• Example: Setting custom dtypes

• Erdogan Taskesen, github: erdogant
• Contributions are welcome.
• If you wish to buy me a Coffee for this work, it is very appreciated :)